Every 256 bytes the lazy match finders process without finding a match,
they will increase their step size by 1. So for bytes [0, 256) they search
every position, for bytes [256, 512) they search every other position,
and so on. However, they currently still insert every position into
their hash tables. This is different from fast & dfast, which only
insert the positions they search.
This PR changes that, so now after we've searched 2KB without finding
any matches, at which point we'll only be searching one in 9 positions,
we'll stop inserting every position, and only insert the positions we
search. The exact cutoff of 2KB isn't terribly important, I've just
selected a cutoff that is reasonably large, to minimize the impact on
"normal" data.
This PR only adds skipping to greedy, lazy, and lazy2, but does not
touch btlazy2.
| Dataset | Level | Compiler | CSize ∆ | Speed ∆ |
|---------|-------|--------------|---------|---------|
| Random | 5 | clang-14.0.6 | 0.0% | +704% |
| Random | 5 | gcc-12.2.0 | 0.0% | +670% |
| Random | 7 | clang-14.0.6 | 0.0% | +679% |
| Random | 7 | gcc-12.2.0 | 0.0% | +657% |
| Random | 12 | clang-14.0.6 | 0.0% | +1355% |
| Random | 12 | gcc-12.2.0 | 0.0% | +1331% |
| Silesia | 5 | clang-14.0.6 | +0.002% | +0.35% |
| Silesia | 5 | gcc-12.2.0 | +0.002% | +2.45% |
| Silesia | 7 | clang-14.0.6 | +0.001% | -1.40% |
| Silesia | 7 | gcc-12.2.0 | +0.007% | +0.13% |
| Silesia | 12 | clang-14.0.6 | +0.011% | +22.70% |
| Silesia | 12 | gcc-12.2.0 | +0.011% | -6.68% |
| Enwik8 | 5 | clang-14.0.6 | 0.0% | -1.02% |
| Enwik8 | 5 | gcc-12.2.0 | 0.0% | +0.34% |
| Enwik8 | 7 | clang-14.0.6 | 0.0% | -1.22% |
| Enwik8 | 7 | gcc-12.2.0 | 0.0% | -0.72% |
| Enwik8 | 12 | clang-14.0.6 | 0.0% | +26.19% |
| Enwik8 | 12 | gcc-12.2.0 | 0.0% | -5.70% |
The speed difference for clang at level 12 is real, but is probably
caused by some sort of alignment or codegen issues. clang is
significantly slower than gcc before this PR, but gets up to parity with
it.
I also measured the ratio difference for the HC match finder, and it
looks basically the same as the row-based match finder. The speedup on
random data looks similar. And performance is about neutral, without the
big difference at level 12 for either clang or gcc.
* patch-from speed optimization: only load portion of dictionary into normal matchfinders
* test regression for x8 multiplier
* fix off-by-one error for bit shift bound
* restrict patchfrom speed optimization to strategy < ZSTD_btultra
* update results.csv
* update regression test
#3543 decreases the size of the tagTable by a factor of 2, which requires using the first tag position in each row for head position instead of a tag.
Although position 0 stopped being a valid match, it still persisted in mask calculation resulting in the matches loops possibly terminating before it should have. The fix skips position 0 to solve this problem.
Allocate half the memory for tag space, which means that we get one less slot for an actual tag (needs to be used for next position index).
The results is a slight loss in compression ratio (up to 0.2%) and some regressions/improvements to speed depending on level and sample. In turn, we get to save 16% of the hash table's space (5 bytes per entry instead of 6 bytes per entry).
Fix underflow of `nbCompares` by switching to an `int` and comparing
`nbCompares > 0`. This is a minimal fix, because I don't want to change
the logic. These loops seem to be doing `nbCompares + 1` comparisons.
The bug was reported by Dan Carpenter and found by Smatch static
checker.
https://lore.kernel.org/all/20211008063704.GA5370@kili/
Fixes the update from PR #2508. I had accidentally forgotten to rebuild
the library, and the regression test suite isn't hooked up to the new
fancy build system yet.
I've double checked that the results are deterministic.
9f327c02fd changed the compression method
for LDM, so the results are slightly different.
I've re-tested LDM on some larger inputs and everything seems fine.
These ratio changes just seem to be noise. There is generally a 0.01%
swing in ratio, sometimes better sometimes worse, but never large.
Fixes#2442.
1. When creating a dictionary keep the same behavior as before.
Assume the source size is 513 bytes when adjusting parameters.
2. When calling ZSTD_getCParams() or ZSTD_adjustCParams() keep
the same behavior as before.
3. When attaching a dictionary keep the same behavior of ignoring
the dictionary size. When streaming this will select the
largest parameters and not adjust them down. But, the CDict
will use the correctly sized parameters, which seems like the
right tradeoff.
4. When not attaching a dictionary (either forced not to, or
using a prefix dictionary) we select parameters based on the
dictionary size + source size, and assume the source size is
small, which is the same behavior as before. But, now we don't
adjust the window log (and hash and chain log) down when the
source size is unknown.
When the source size is unknown all cdicts should attach, except
when the user disables attaching, or `forceWindow` is used. This
means that when streaming with a CDict we end up in the good case
where we get small CDict parameters, and large source parameters.
TODO: Add a streaming + dictionary regression test case.
* Add a test that runs without a pledgedSrcSize and with a dictionary.
* Add github.tar data with uses the github dictionary while compressing
github.tar, instead of each file individually.
Yann Collet